In this paper, we propose a stop-loss strategy to limit the downside risk of the well-known momentum strategy. At a stop-level of 10%, we find, with data from January 1926 to December 2013, that the maximum monthly losses of the equal- and value-weighted momentum strategies go down from -49.79%...

We explore the effects of fundamental extrapolation on stock returns. Empirically, we propose a novel approach to extrapolate firms' fundamental information and find that a strategy based on fundamental extrapolation earns an average return of 0.80% per month. Theoretically, we show that...

We propose a unsupervised learning approach to construct latent factor model for cross sectional asset returns where firm characteristics instrument for the dynamic factor exposures. Firm characteristics are clustered with consideration to their prior economic content. Our method can also be...

It is well-known that leveraged exchange-traded funds (LETFs) don't reproduce the corresponding multiple of index returns over extended (quarterly or annual) investment horizons. In 2008, most leveraged ETFs underperformed the corresponding static strategies. In this paper, we study this...

In this paper, we find that the upside asymmetry calculated based on a new distribution-based asymmetry measure proposed by Jiang, Wu, Zhou, and Zhu (2020) is negatively related to average future returns in the crosssection of Chinese stock returns. By contrast, when using a conventional...

In the Chinese stock market, we find that the cross-sectional relation between value-at-risk (VaR) and expected returns is unclear, which is different from the recent findings in the United States. Additionally, VaR is negatively related with expected returns and cannot be explained by...